Table 1_The economic burden of Hospital-Acquired Infections on cancer patients under China

HAIs led to an increase of $5,031.01 in hospitalization costs and 9 days in prolonged hospital stay for cancer patients. This 26.4 KB dataset contains results from a 2024 retrospective study at a regional cancer center, analyzing medical insurance data under China's Diagnosis-Intervention Packet payment model. The study was authored by Jiao Liu and last updated in April 2026.

Use Cases

• Modeling the economic impact of hospital-acquired infections based on cost and length-of-stay metrics.
• Identifying high-risk Diagnosis-Intervention Packet categories for targeted infection control based on concentration data.
• Analyzing the relationship between multi-drug resistant organism types and payment deficits based on the reported correlations.
• Assessing the effectiveness of infection prevention strategies on medical insurance payment balance based on the study's conclusion.

Strengths

• Specific, quantified financial impacts are reported, such as a $1,436.27 increase in DIP deficits.
• Analysis includes statistical adjustments for bias and confounding via risk-set matching.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single regional cancer center, which may limit generalizability.

Provenance

Source

figshare, authored by Jiao Liu.

Collection Method

Retrospective study using 2024 medical insurance and healthcare-associated infection data from discharged patients.

Time Range

2024 data.

Freshness

Last updated 2026-04-16 05:25:32; freshness should be verified.

Geography

A regional cancer center in China.